Join us to learn more about graph neural networks and PyTorch Geometric on 5th May! The online event is free and open to everyone.
(more…)Graph Neural Networks in PyTorch Geometric
Tag: Python
The news coverage of geolocations
Text visualization – some simple exercises
Visualizing text is neither easy, nor a straightforward task and often it is totally useless. Here, we try to give a visual summary of various texts and the question if any of the visualizations is useful left to the reader. Woody Allen’s bon mot, “I took a speed-reading course and read War and Peace in twenty minutes. It involves Russia.” serves as our disclaimer here.
(more…)Software engineering for data scientists Part 2 – automate your life
Let’s face it, data scientists work with software engineers and at the end of the day, they have to deploy software. An effective data scientists should be able to work within a software development team, so (s)he must be able to use the tools of the trade. Our previous post introduced the very basics and now we make a further step.
(more…)Using AI to Predict Risk in Public Procurement
Our report on using AI to predict the riskiness of public procurement calls based on their text is available on tenders.guru
(more…)Software engineering for data scientists – Part 1, Development Tools
I have bad news; being able to write programs is only a tiny fraction of software development and data science. You have to know a lot of things and this can become very frustrating. You will be bombarded with acronyms and silly-named tools, like IDE, git, version control, CI, etc, etc. At some point, you have to start use the tools of the trade along with coding and here we give you some advice on what to use to become a pro.
(more…)A simple Markov chain text generator in Python
What does it mean to build a language model? How it is related to the Beat Generation’s cut-up technique and can be used for text generation? We’ll shed light on these questions using Python!
(more…)Order emerging from randomness or the joy of random Boolean networks and Python
Boolean networks are widely used in computational biology to model gene regulatory networks, and they can be very useful in time-series analysis too. Here, we will use the concept of random Boolean networks to generate interesting images which show some sort of repetitive patterns. Let complexity meet generative art and Python!
(more…)Getting Started with Colab Using TensorFlow is freely available on Manning LP
We developed a free course for Manning liveProject. Getting Started with Google Colab Using TensorFlow has got a very descriptive title, so it teaches you the very basics of using Colab with TensorFlow.
(more…)Getting Started with Colab Using PyTorch is freely available on Manning LP
We developed a free course for Manning liveProject. Getting Started with Google Colab Using PyTorch has got a very descriptive title, so it teaches you the very basics of using Colab with PyTorch.
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